薄煤层采掘设备故障诊断系统的研究与实现

发布时间：2018-09-17 11:42

【摘要】：我国薄煤层的储量在煤炭总储量中的占比高,其产量却十分低下。主要在于薄煤层开采效益低,机械化和智能化程度过低。构建采掘设备故障诊断系统,有利于提高薄煤层开采设备的智能化水平。本文研究了薄煤层采掘设备上的旋转机构部件的故障诊断。为了模拟采掘设备的旋转机械故障,以NI数据采集卡和Labview软件为核心搭建了一个旋转机械的故障仿真平台。针对该旋转机械故障仿真平台,分析了轴承、齿轮、转子类故障的特点和模型,设计了一个RBF神经网络来进行旋转机械故障分类算法,并将采集的平台故障振动数据用于RBF神经网络的训练和测试。在诊断过程中,本文采用先快速定位故障,后精细诊断的策略。在RBF网络的输入特征值向量的处理上,本文分别采用考虑故障模型和不考虑故障模型两种方式进行实验。实验结果表明,RBF网络和故障模型相结合的诊断方式准确率更高。为方便采掘设备的远程监控与诊断,本文采用JSP、Struts2、Hibernate和Mysql数据库设计并实现了一个基于java Web的采掘故障诊断系统,该Web系统采用基于MVC的四层结构。将故障诊断平台上研究的故障分类算法用java实现,并应用到该Web系统的诊断模块部分中。状态监控模块和故障诊断模块是该系统的核心模块,为了方便用户权限控制和新增采掘设备的管理,Web系统中还设计了权限管理和设备管理模块。
[Abstract]:Thin seam reserves account for a high proportion of total coal reserves in China, but its output is very low. The main reason is that the efficiency of thin seam mining is low and the degree of mechanization and intellectualization is too low. Fault diagnosis of structure parts. In order to simulate rotating machinery faults of mining equipment, a fault simulation platform of rotating machinery is built with NI data acquisition card and Labview software as the core. Aiming at the fault simulation platform of rotating machinery, the characteristics and models of bearing, gear and rotor faults are analyzed, and a RBF neural network is designed to advance the platform. In the process of diagnosis, the strategy of locating faults quickly and diagnosing them accurately is adopted. In the processing of input eigenvalue vectors of RBF network, fault models are considered and fault models are not considered respectively. The experimental results show that the RBF network and fault model have higher accuracy. In order to facilitate the remote monitoring and diagnosis of mining equipment, this paper designs and implements a mining fault diagnosis system based on Java Web using JSP, Struts2, Hibernate and Mysql database, and the Web system uses MV. C four-tier structure. The fault classification algorithm based on the fault diagnosis platform is implemented in Java and applied to the diagnosis module of the Web system. The state monitoring module and the fault diagnosis module are the core modules of the system. In order to facilitate the control of user privileges and the management of new mining equipment, the privilege management is also designed in the Web system. Device management module.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD421

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